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Proceedings Paper

Fast segmentation method for SAR images
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Paper Abstract

An iterative optimization algorithm which can be used for speckle reduction and segmentation of synthetic aperture radar (SAR) images is presented here. This method contains as a first step a fast restoration and as a second one the segmentation. We have worked in 3-look simulated and real ERS-1 amplitude images. The iterative filter is based on a membrane model Markov random field (MRF) approximation optimized by a synchronous local iterative method (SLIM). The final form of restoration gives a total sum preserving regularization (TSPR).

Paper Details

Date Published: 23 December 2002
PDF: 9 pages
Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); doi: 10.1117/12.450351
Show Author Affiliations
Emmanuel Bratsolis, Ecole Nationale Superieure des Telecommunications (France)
Marc Sigelle, Ecole Nationale Superieure des Telecommunications (France)

Published in SPIE Proceedings Vol. 4792:
Image Reconstruction from Incomplete Data II
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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